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Fintech Computer Science Jobs (NOW HIRING)

Education and Experience: * BS degree in Computer Science, Computer Information Systems, Management ... Prior FinTech experience * Project management experience * Cloud Platform Proficiency: Strong ...

Education and Experience: * BS degree in Computer Science, Computer Information Systems, Management ... Prior FinTech experience * Project management experience * Cloud Platform Proficiency: Strong ...

Principal Security Engineer

Tampa, FL · On-site

$90 - $120/hr

Bachelor's degree in Computer Science, Information Security, or a related field preferred ... Fintech is a Drug-Free Workplace. Fintech is an Equal Opportunity Employer that does not ...

WHO WE ARE Apex Fintech Solutions (Apex) powers innovation and the future of digital wealth ... Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related ...

WHO WE ARE Apex Fintech Solutions (Apex) powers innovation and the future of digital wealth ... Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related ...

Sr Database Administrator

Austin, TX · On-site

$49.25 - $68/hr

WHO WE ARE Apex Fintech Solutions (Apex) powers innovation and the future of digital wealth ... Bachelor's degree in Computer Science, Computer Engineering (or equivalent work experience ...

Sr Database Administrator

Austin, TX · On-site

$49.25 - $68/hr

WHO WE ARE Apex Fintech Solutions (Apex) powers innovation and the future of digital wealth ... Bachelor's degree in Computer Science, Computer Engineering (or equivalent work experience ...

Showing results 21-40

Fintech Computer Science information

See salary details

$56.5K

$83.1K

$98K

How much do fintech computer science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for fintech computer science in the United States is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $93,500.00 per year, depending on experience, location, and employer.

What is Fintech Computer Science?

Fintech computer science is the application of computer science principles and technologies to the financial sector. It involves designing, developing, and maintaining software and systems that power digital banking, online payments, blockchain, investment platforms, and other tech-driven financial services. Professionals in this field use programming, data analysis, cybersecurity, and artificial intelligence to solve complex problems and create innovative financial products. Fintech computer science bridges the gap between traditional finance and modern technology, making financial services more efficient, accessible, and secure.

What are the key skills and qualifications needed to thrive as a Fintech Computer Science professional?

To thrive as a Fintech Computer Science professional, a solid background in computer science, mathematics, and finance, often demonstrated by a relevant degree or certification, is essential. Familiarity with programming languages like Python, Java, or C++, knowledge of blockchain technology, and experience with financial platforms and databases are typically required. Strong analytical thinking, problem-solving abilities, and excellent communication skills help professionals adapt to fast-paced, evolving environments. These competencies are crucial for developing secure, innovative financial solutions that meet regulatory standards and client needs.

How do Fintech Computer Science professionals typically collaborate with cross-functional teams to deliver innovative financial products?

Fintech Computer Science professionals often work closely with product managers, data scientists, UX designers, and compliance specialists to develop and launch secure, user-friendly financial solutions. They participate in agile development cycles, contribute to technical discussions, and help translate business requirements into scalable software. Effective communication and adaptability are key, as priorities can shift quickly in response to market trends and regulatory changes. This collaborative environment offers opportunities to learn from diverse experts and have a direct impact on the evolution of financial technology.

What is the difference between Fintech Computer Science vs Financial Software Developer?

AspectFintech Computer ScienceFinancial Software Developer
Required CredentialsBachelor's in Computer Science, Fintech certificationsBachelor's in Computer Science or related field, finance certifications
Work EnvironmentTech companies, startups, financial institutionsFinancial firms, banks, fintech companies
Industry UsageDeveloping financial technology solutions, blockchain, paymentsBuilding financial applications, trading platforms, banking software
Common Search/ComparisonYesYes

Fintech Computer Science focuses on developing innovative financial technology solutions, often involving blockchain and payments, while Financial Software Developers primarily build financial applications like trading platforms and banking software. Both roles require strong programming skills and industry knowledge, but their specific focus areas differ within the financial technology landscape.

Can I get into fintech with a computer science degree?

A computer science degree provides a strong foundation for a fintech career, as many roles involve software development, data analysis, and cybersecurity. Skills in programming languages, financial technologies, and understanding of financial systems are valuable for entry into fintech positions.

Is fintech a high paying career?

Fintech computer science roles often offer competitive salaries due to the industry's demand for technical skills in areas like software development, data analysis, and cybersecurity. Salaries can vary based on experience, location, and specific job responsibilities, but many positions in fintech are considered well-paying within the tech sector.

What jobs do fintech computer science majors get?

Fintech computer science majors often pursue roles such as software developers, data analysts, cybersecurity specialists, and blockchain engineers. These positions typically require programming skills in languages like Python, Java, or C++, and familiarity with financial technologies and tools such as APIs, databases, and cloud platforms.
More about Fintech Computer Science jobs
Infographic showing various Fintech Computer Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 75% Physical, 2% Hybrid, and 23% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

Lead Data Scientist - Investment Management Fintech Strategies (IMFS)

Vanguard Group, Inc.

Malvern, PA • On-site

Full-time

Re-posted 9 days ago


Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

16th of 150 rated financial services


Job description

Lead Data Scientist - Investment Management Fintech Strategies (IMFS)
Investment Management Fintech Strategies (IMFS) is a global team headquartered in Malvern, Pennsylvania. We partner with investment teams to explore and apply new technologies that can improve investment performance, strengthen decision-making, and help capital markets work better for Vanguard's investors. Our work spans advanced analytics and AI/ML, new data sources, market structure and liquidity research, and building scalable platforms and tools that move from experimentation into production.
Responsibilities:
  • Own end-to-end research using large-scale historical data: form hypotheses, run analyses, develop models, and translate results into insights that can improve portfolio construction and trading decisions.
  • Identify and solve market-impact problems across microstructure, fund flows, and liquidity dynamics-surfacing risks and opportunities tied to execution quality and market impact.
  • Design and lead the evolution of core research tooling, including the back-testing framework and signal libraries, to enable repeatable, high-quality experimentation.
  • Apply AI/ML thoughtfully in financial markets, staying current on emerging techniques and evaluating what is practical, robust, and scalable in real-world market environments.
  • Raise the bar on engineering quality by mentoring quant strategists and data scientists on production-grade code, data pipelines, and research-to-production best practices.
  • Partner with technology to integrate models into production systems, monitor live performance, and iterate based on market feedback and measured outcomes.
  • Represent Vanguard externally by contributing to industry discussions and thought leadership in areas relevant to AI/ML, systematic research, trading, and market structure.

Qualifications:
  • 5+ years leading or driving advanced data science work, including back-testing, simulation, and statistical modeling in complex problem spaces.
  • Master's or PhD in machine learning, data science, financial engineering, computer science, or related quantitative discipline.
  • Strong end-to-end data science capability: problem framing → research design → modeling → validation → deployment partnership.
  • Proficiency in Python and common ML libraries; experience collaborating with data engineering and bringing models into production.
  • Demonstrated ability to apply AI/ML to solve complex technical problems through collaboration, creativity, and disciplined research.
  • Comfortable partnering with senior leaders-communicating tradeoffs, impact, and value in a clear, decision-oriented way.

Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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